Senior Data Analyst
Senior Data Analyst
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Job Description
WHAT YOULL DO
Join the Global Merchandising team within Sales and play a key role in the In & Post Season Value Stream. Youll work with advanced AI technologies and leverage SQL programming tools and data modelling best practices to deliver actionable insights and optimize product performance.
Support in-season inventory planning stock management and end-of-season sale pricing using AI-powered pricing engines (Mark Down Online and Mark Down Retail).
Translate large volumes of data into actionable insights that guide strategic decisions across fashion retail and e-commerce.
Define monitor and visualize key KPIs and OKRs to drive transparency and measure success.
Lead data modelling conversations to ensure optimal data structures and model performance within your product area.
Act as the go-to analytics expert within your product team collaborating end-to-end on data-driven product development and business case validation.
Please note that this is a temporary position for 1 year starting as soon as possible.
WHO YOULL WORK WITH
Youll be part of a truly international and cross-functional team working closely with Data Scientists Machine Learning Engineers Business Experts and Product Managers to bring cutting-edge AI products to life. Collaboration is at the heart of what we do; our team brings together diverse backgrounds and perspectives to solve complex challenges and create real value for millions of customers across global markets. We work in an agile setup that encourages experimentation continuous learning and open dialogue. If youre someone who thrives in a fast-paced curious and supportive environment youll feel right at home here.
WHO YOU ARE
We are looking for people with
A degree in Economics Business Supply Chain Mathematics Engineering or a related field.
Experience in analytics roles within retail fashion or tech-driven companies ideally linked to product or business development.
Proficient in SQL Python or R with experience using modern data tools such as Git and dbt for managing data transformation workflows.
A solid understanding of statistical and analytical methods applied to real-world data problems.
Experience using data visualization tools (e.g. Power BI Looker).
And people who are
Strategic thinkers with a strong analytical mindset and a passion for solving complex problems.
Clear communicators who can transform data into compelling stories and practical recommendations.
Team players who thrive in collaborative agile environments and are comfortable working with a range of stakeholders.
WHO WE ARE
H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design affordable prices and sustainable solutions. We want to liberate fashion for the many and our customers are at the heart of every decision we make.
We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together we want to use our power our scale and our knowledge to push the fashion industry towards a more inclusive and sustainable future.
WHY YOULL LOVE WORKING HERE
At H&M Group we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe.
We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and addition to our staff discount all our employees are included in our H&M Incentive Program HIP. You can read more about our H&M Incentive Programhere.
30 days holiday
We offer a collective agreement which includes pension and life insurance
H&M Incentive Program
Wellness benefit 3000kr/year
Benify Benefits Portal
Community with activities
JOIN US
Our uniqueness comes from a combination of many things our inclusive and collaborative culture our strong values and opportunities for growth. But most of all its our people who make us who we are.
Take the next step in your career together with us. The journey starts here.
*We are committed to a recruitment process that is fair equitable and based on competency. We therefore kindly ask you to not attach a cover letter in your application.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
